ORPD

用boxcount计算分形维数统计不同距离点对的出现频率(the frequency of pixel pairs with distance d )

说明：  多种群遗传优化算法，包括移民算子、人工选择算子以及标准遗传算法的代码(A variety of genetic optimization algorithms, including migration operator, manual selection operator and standard genetic algorithm code)

刘金坤编写的智能控制一书中的程序代码，调试通过的！(Smart Liu Jinkun a book written control program code, debugging through!)

不错的规划的程序，matlab语言写的，适合对规划感兴趣的的初学者和编程人员。(Good planning process, matlab language written for the planning of interest to the beginners and programmers.)

单径瑞利信道的simulink仿真 给定多普勒频移为120km/h，多普勒谱为经典谱。(the model of Rayleigh channel)

隐马尔科夫模型的不错的程序，运行简单，欢迎借鉴(Good program hidden Markov model, run a simple welcome draw)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

光波在二维电介质中波导现象的有限时域差分计算方法。(2D FDTD of light guided through dielectric ridge waveguide.)

algoritmo de minimos cuadrados

说明：  用于计算图像鲁棒性的峰值信噪比和归一化相关系数。峰值信噪比值越大，说明图像处理效果越好，鲁棒性强，越小越不好。归一化相关系数值越大越好。(Images used to calculate the peak signal to noise ratio and robustness of the normalized correlation coefficient. The greater the peak signal to noise ratio, indicating that the better image processing, robust, the smaller the worse. Normalized correlation coefficient the better.)